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Loss Func 1.0

4.1 MB / 10+ Downloads / Rating 1.0 - 1 reviews


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Loss Func, developed and published by Jaime Muñoz-Flores, has released its latest version, 1.0, on 2018-03-12. This app falls under the Productivity category on the Google Play Store and has achieved over 1000 installs. It currently holds an overall rating of 1.0, based on 1 reviews.

Loss Func APK available on this page is compatible with all Android devices that meet the required specifications (Android 2.1+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: appinventor.ai_jaimemunozflores.Loss_function

Updated: 7 years ago

Developer Name: Jaime Muñoz-Flores

Category: Productivity

App Permissions: Show more

Installation Instructions

This article outlines two straightforward methods for installing Loss Func on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

App Rating

1.0
Total 1 reviews

Previous Versions

Loss Func 1.0
2018-03-12 / 4.1 MB / Android 2.1+

About this app

In the field of economic and administrative sciencies, decisions are always surrounded by uncertainty factors. In any decision under conditions of uncertainty, the first step to construct an analytical scheme that allows to delimit the possible economic losses is to define what is known as the loss function; in the decision, the best possible option will always depend on the way in which the different types of errors that an individual can commit are weighted; that is why the construction of the loss function is the ideal resource for this purpose.
In general terms, it can be said that in the loss function there are two basic arguments: the true class and the predicted class; both can be represented in a matrix.

L(y,y_1 )
Where L is the loss function, y is the true class and y1 is the predicted class.
If one thinks, for example, of undertaking in the field of technological innovation and in doing so happens that there is not enough market for the new products, this wrong decision will have a cost; however, if there is indeed a market for the new product and the decision of undertaking had not been taken - despite that there were indicators about that it was advisable - then the entrepreneur would realize that he lost millions because he did not want to launch their products at the right time , while the competition did.
This type of reasoning can be used to weigh different errors and guide decision making. Because it is the simplest, a binary loss function is normally used for such purposes; that is, a function that can assume only the values of 0 and 1. Thus, the decision can be made in the following terms: nothing is added to the cost if the correct decision is made and the unit is added in case of having made the wrong decision. This app facilitates the construction of loss functions for all kinds of decision problems.

App Permissions

Allows an application to write to external storage.
Allows applications to open network sockets.
Allows applications to access information about Wi-Fi networks.
Allows applications to access information about networks.
Allows an application to read from external storage.